behavioural questions Flashcards

(26 cards)

1
Q

explaining tech ideas to non tech

A

AC explaining ML part - doesnt get context of words, car rental example

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

adapting to change/people resisting to change

A

bring LLM into AC - appreciate concerns and bring evidence, test on small subset

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

convincing stakeholders of your ideas

A

bring LLM into AC - appreciate concerns and bring evidence, test on small subset

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

managing difficult stakeholder

A

bring LLM into AC - appreciate concerns and bring evidence, test on small subset

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

dealing with disagreements within the team

A

bring LLM into AC - appreciate concerns and bring evidence, test on small subset

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

connecting teams/ tech and non tech

A

feedback loop for AC

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

improved a process

A

feedback loop for AC or LLMs

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

issues with data quality

A

classified data for ML - used LLMs, COPs and DQ scores

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

tight deadline

A

YW cost data lake data source change

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

managing multiple workstreams

A

YW cost data lake data source change

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

delegating work

A

YW cost data lake data source change

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

lead under pressure

A

YW cost data lake data source change

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

dealt with things changing quickly

A

YW cost data lake data source change

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

dealing with things not going to plan

A

YW cost data lake data source change

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

taking initiative / going above and beyond

A

YW savings dashboard alerts

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

taking ownership

A

YW savings dashboard alerts

17
Q

making a mistake

A

YW savings too many alerts

18
Q

handling frustrated stakeholders

A

YW savings too many alerts

19
Q

influencing without authority

A

YW savings data entry

20
Q

lead a project/initiative

A

supplier clustering

21
Q

owned an experiment from start to finish

A

supplier clustering

22
Q

decision with limited data

A

supplier clustering - no defined clusters, decide to focus on large suppliers

23
Q

convince your work is important

A

supplier clustering - show real examples of how groups help

24
Q

deal with conflicting opinions

A

supplier clustering - different levels of granularity for clustering, bring teams together, show real world examples for different use cases

25
worked on an ambiguous project
supplier clustering - different levels of granularity for clustering, bring teams together, show real world examples for different use cases
26
risk that didnt pay off
fuzzy matching for supplier clustering